Banking AI Suite: Robo-Advisory

Personalized portfolios at scale.

Automate goal-based planning, portfolio construction, and ongoing rebalancing—while keeping advisors and compliance in control.

Customer Benefits

Tailored Portfolios

Create custom portfolios based on goals, risk, horizon, and constraints

Automated & Tax-Aware Investing

Automates rebalancing and tax-aware moves with clear explanations for customers

Advisor-Led Control

Keeps advisors in control with a clear process for approvals, notes, and suitability checks

Core capabilities

Goal &
Risk Profiling

Objectives, capacity, constraints, ESG preferences

Portfolio
Construction

Model templates, ETFs/MFs, sleeves, glide paths

Rebalancing & Tax-Awareness

Drift controls, tax-loss harvesting rules

Suitability
& Disclosures

Reason codes, pre-trade validation, client letters

Advisor
& Client Portals

Proposals, approvals, e-sign, performance views

Data
& Reporting

Statements, fee reports, audit logs, exports

Built for regulated wealth

Designed for banks, brokers, RIAs, and NBFCs—policy controls, maker–checker, and auditability included.

Integrations & Ecosystem

  • Connects with: custodians/brokers, RTAs/transfer agents, market data, CRM, KYC/AML

  • Executes via: order management APIs; records evidence for audit data-residency rules

Security & Privacy

  • Consent & encryption, role-based access, data retention controls

Outcomes and Stakeholders

Time to Value

Pilot in 6–10 weeks with prioritized models and flows.

Outcome Snapshot
  • Faster time-to-proposal, higher STP rates

  • Reduced portfolio drift, improved client engagement

Typical Trackable KPIs
  • Time-to-recommendation, proposal acceptance, STP%

  • Drift beyond bands, rebalancing completion, realized tax benefits

  • AUM growth, retention, advisor productivity

Who Uses It
  • Advisors & Wealth Managers

  • Product/Investment Teams

  • Compliance

  • IT/Analytics

FAQs

We've got the answers you're looking for.

Can we keep our model portfolios?

Yes—import and version them.

Yes—rules for lots, harvesting, holding-periods.

Yes—advisor-led, hybrid, or fully digital.

Ready to scale personalized portfolios?

Explore a Guided Demo → See model import, proposals, and rebalancing live.

Scroll to Top

Multi-state BC network lifts activation & CX

Challenge: Inconsistent agent activity, slow break detection, and manual reporting across states.

What we did: Launched a unified performance cockpit with activation/throughput KPIs, threshold-based alerts, and WhatsApp summaries for field leads.

Results: (10 Weeks)

  • +12–18% agent activation across targeted districts
  • 50% faster issue closure for cash/float & device-health breaks
  • Service recovery before impact on peak days, improving CSAT
(Outcomes are illustrative of typical deployments; exact results vary by environment and scope.)

Regional bank boosts uptime & collections

Challenge: Fragmented views across core, payments, and BC networks led to slow incident response and rising collections TAT.

What we did: Deployed the Insight Hub with role-based dashboards, smart outage alerts, and a collections cockpit; enabled Ask-the-Data for branch/cluster managers.

Results: (12 Weeks)

  • Branch/BC uptime incidents are detected 1–2 hours earlier on average
  • TAT for collections actions down ~25% with prioritized queues
  • Manager reporting time cut ~60%, freeing capacity for customer handling

(Outcomes are illustrative of typical deployments; exact results vary by environment and scope.)